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Research on the Application of Image Recognition Technology in Transformer Equipment Fault Monitoring
Junjie Feng, Yusong Duan, Wenjie Kang, Zhengyu Li and Xiao Liu

With the continuous improvement of science and technology, infrared image recognition technology has been popularized in the substation, and has become an important means of transformer equipment fault monitoring. At present, infrared image recognition technology can play a good recognition effect in open equipment fault detection, but it cannot directly get the recognition effect of closed equipment, so it needs to be processed by elimination method, which inhibits the application of image recognition technology in substation. Based on this, the infrared identification research is carried out with the 10kV trolley switch cabinet and GIS equipment as the research objects. To be specific, an on-line monitoring scheme for substation equipment fault based on image recognition is developed, and the scheme is applied in the infrared fault identification experiment of the trolley switch cabinet. The results show that the three-phase temperature of copper row behind the static contact seat of the trolley switch cabinet can be found through the perspective window, confirming the feasibility of the scheme. Then, the infrared fault identification experiment of GIS equipment was carried out to find the main cause of equipment heating, and the robustness of the scheme was confirmed again. Through this research, the importance of infrared image recognition technology in substation equipment fault monitoring is affirmed, and the problem that infrared image recognition technology can not directly obtain closed equipment state information is solved in the past, which improves the application of image recognition technology in substation equipment fault monitoring.

Keywords: infrared image recognition technology; Substation; Fault monitoring; Enclosed equipment; Trolley switch cabinet; GIS equipment